Informatics and AI engineer, Biotherapeutics

Pfizer; Cambridge (MA); On-site; USD 106,000 - 177,000; Full time

Benefits offered by this job

Bonus plan

Health benefits

401(k) with matching

Job summary

Pfizer is seeking a data and AI engineer to design and scale an AI-ready data architecture for biologics labs. You will build innovative data products, curate datasets, and develop analysis pipelines with agentic AI, working closely with Pfizer’s Digital organization and external partners.

The role emphasizes deploying data products, collaborating across teams, and publishing work to advance Pfizer’s data science in life sciences.

Qualifications

• PhD or MSc with AI research experience in life sciences.
• Strong background in data handling, integration and analysis.
• Experience with drug discovery or biology beneficial.
• Proficient in Python and SQL for data products.

Responsibilities

• Develop, support and implement a modern data platform for biologics data.
• Develop data products and ML methods with experts.
• Curate and integrate public datasets and internal data.
• Build pipelines and agentic AI for data analysis and visualization.
• Collaborate with external companies and academic partners.

Skills

Python

SQL

LLMs

Agentic AI

Data handling

Full-stack development

Education

PhD in Biology, Chemistry, Physics, Statistics or related

Master’s degree + 2+ years AI research apps

Tools

Nextflow

Data warehouse

ETL frameworks

Linux / containerization

Job description

Role Summary

ROLE SUMMARY: At Pfizer, our purpose is to deliver breakthroughs that change patients’ lives. Our cross-functional Data Ecosystem Team is hiring a data and AI engineer to help build and scale an AI-ready data architecture supporting biotherapeutics labs. You will leverage your expertise to design innovative software and agentic AI solutions that help structure and capture Pfizer’s proprietary data, and extract valuable insights from both proprietary and external datasets. You will enable the generation of testable hypotheses across the entire drug discovery value chain.

Role Responsibilities

Develop, support and implement a modern data platform to enable efficient and scalable correlation and analysis of data for biologic drug modalities. Develop of innovative data products and machine learning methods for biologics data together with machine learning experts within Pfizer Curate and integrate relevant datasets from the public domain Develop analysis pipelines with appropriate use of agentic AI Develop and deploy data products to meet specific needs through data integration Implement, test, and validate new methods for data analysis and visualization techniques Drive collaborations with external companies and academic institutions Enhance Pfizer biologics data capture, metadata tagging, and storage strategy along with Pfizer’s Digital organization Onboard Pfizer colleagues to the data platform and organization of workshops, hackathons, trainings and scientific talks Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community.

Basic Qualifications

• PhD in Biology, Chemistry, Physics, Statistics or a related technical discipline
• OR Master’s degree and 2+ years of experience building AI powered research applications
• Strong background in data handling, integration and analysis
• Thorough understanding of drug discovery and biology with a particular focus on large molecule therapeutics such as peptides and antibodies.
• Research experience developing data products and data integration solutions as well as a sincere desire to innovate at the nexus of data science and agentic AI for life sciences
• Experience solving complex analyses/problems in a timely fashion
• Experience with LLMs, agentic AI, and MCP/RAG systems
• Exceptional programming skills in Python
• Experience with data governance rules and data validation
• Strong experience as a full-stack developer with focus on python and SQL, in-depth database expertise and understanding of ETL frameworks and data warehouse technologies.
• Strong communication skills—verbal, written and presentation; demonstrated ability to communicate at the appropriate technical level with scientists having diverse areas of expertise

Preferred Qualifications

• Proficiency in front-end technologies and browser-based visualization techniques
• Expertise in software engineering, package development, cloud architectures, CI/CD, and software engineering tooling
• Nextflow pipeline development
• Strong knowledge of Linux systems including containerization technologies and HPC environments
• Familiarity with pertinent libraries within the Python scientific stack
• Hands-on experience handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment
• Experience with Claude Code or equivalent and agentic coding paradigms
• Demonstrated ability to communicate complex technical work through publications, presentations, or detailed documentation
• Experience taking ideas from prototype to production.

Physical/Mental Requirements

• Ability to perform complex data analysis.

Additional Job Details

Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed.

Last date to apply is September 3, 2026

• The annual base salary for this position ranges from $106,000.00 to $176,600.00.
• In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
• We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments.
• Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage.
• Pfizer compensation structures and benefit packages are aligned based on the location of hire.
• The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
• Relocation assistance may be available based on business needs and/or eligibility.
• Candidates must be authorized to be employed in the U.S. by any employer.
• U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

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Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government.

If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.

Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

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Research and Development Pfizer careers are like no other. In our culture of individual ownership, we believe in our ability to improve future healthcare, and potential to transform millions of lives. We’re looking for new talent to join our global community, to unearth new innovative therapies that make the world a healthier place.